The American Dream Squeezed: A Data-Driven Look at the U.S. Housing Affordability Crisis

Introduction

Background on my topic and my research question.

Methods

A brief overview of my data sources and analytical approach.

Results

Key Finding 1

Here is an interactive plot.

# Let's make a simple interactive plot with plotly
library(plotly)

Loading required package: ggplot2

Attaching package: 'plotly'

The following object is masked from 'package:ggplot2':

    last_plot

The following object is masked from 'package:stats':

    filter

The following object is masked from 'package:graphics':

    layout

library(ggplot2)

# Example using mtcars dataset
p <- ggplot(mtcars, aes(x = wt, y = mpg, color = factor(cyl))) +
  geom_point(size = 2) +
  labs(title = "Car MPG vs Weight", x = "Weight (1000 lbs)", y = "Miles per Gallon")

# Make it interactive
ggplotly(p)

Key Finding 2

Here is a static table or figure.

Conclusion and Summary

A brief recap of my findings.